Best Pinterest Scrapers in 2026: Free Tools and APIs

November 8, 2026

Pinterest data answers questions other networks cannot: what people plan to buy, cook, wear or build months ahead. Saves show intent, and outbound links show where that intent goes. This guide compares the main Pinterest scrapers in 2026 and gives you three research recipes you can run with any of them.

Pinterest scrapers compared

One gap to know: EnsembleData's pricing page lists 8 platforms and Pinterest is not one of them, so it is not an option here today.

gallery-dl: best free option

gallery-dl is the strongest free tool for Pinterest. It understands pin, board, section, search and profile URLs. If you want metadata without downloading every image, use its documented flags:

# Print metadata as JSON, download nothing
gallery-dl --dump-json "https://www.pinterest.com/USER/BOARD/"

# Download files and write a JSON file next to each one
gallery-dl --write-metadata "https://www.pinterest.com/USER/BOARD/"

Its limits: it is a downloader, field names follow Pinterest's internal format, and it breaks for a while when Pinterest changes its site. Pin the version you tested with.

The official API

The v5 API reads only the authorized account's pins and boards, plus shared group boards. It is the right tool for your own analytics, not for competitor research. See our Pinterest API guide for its limits.

Hosted options

Bright Data's Pinterest Scraper API bills only for delivered records and suits large exports. ScrapeIO suits per-request use: one call, one JSON answer, the same field names as TikTok or YouTube.

What to collect from a pin

• Saves. The main signal of interest on Pinterest.
• Created date. Without it, saves cannot be compared.
• Outbound link and its domain. Shows who earns the traffic.
• Board name and owner. Gives the pin's context and audience.
• Title and description. Pinterest is keyword-driven, so the text matters.

A useful normalized metric: saves per day = saves ÷ days since the pin was created. It lets a two-week-old pin compete fairly with a two-year-old one.

Data traps on Pinterest

• The same pin shows up on many boards. Deduplicate by pin ID before you count anything.
• Repins point back to an original. Decide whether you credit saves to the original creator or the board that repinned it, and stick to it.
• Video and static pins behave differently. Compare them separately.
• Search results change by region and over time. Record the date and run keyword checks from the same setup each month.

Recipe 1: competitor board audit

1. List a competitor's boards.
2. Pull the latest pins on each board.
3. Compute saves per day for each pin and the median per board.
4. Rank boards by median. The top three show which topics their audience saves most.

Recipe 2: keyword demand check

1. Search 10 related keywords, for example "small balcony ideas" and its variants.
2. For the top results, record saves and created date.
3. Keywords whose top pins are recent and heavily saved are rising; old pins with high saves mean an established, harder topic.

Recipe 3: who gets the clicks

1. Collect the top pins for your category keywords.
2. Group them by outbound domain.
3. Sum saves per domain. That is your share-of-voice table on Pinterest, including affiliate sites and marketplaces you may not have on your radar.

Doing it with ScrapeIO

All three recipes run on the Pinterest user boards API, the Pinterest board API, the Pinterest search API and the Pinterest pin API. Most calls cost 1 credit, credits never expire, and failed calls are free. Parameters are on the Pinterest page.

curl "https://scrapeio.com/v1/pinterest/search?query=small%20balcony%20ideas" -H "x-api-key: YOUR_KEY"

Sources

Checked on 8 November 2026 from each vendor's own pages. Prices and limits change; follow the links before you decide.

• https://github.com/mikf/gallery-dl/blob/master/docs/supportedsites.md
• https://github.com/mikf/gallery-dl/blob/master/docs/options.md
• https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites.md
• https://github.com/pinterest/api-description
• https://developers.pinterest.com/docs/reference/rate-limits/
• https://brightdata.com/products/web-scraper/pinterest
• https://ensembledata.com/pricing